Evaluation of serum copper and zinc levels among Sudanese Typ2 diabetic patients

Abstract EN

Background: Diabetes mellitus (DM) is a group of metabolic disorders characterized by hyperglycemia resulting from defects in insulin secretion, action or both.

Trace elements were observed in diabetes mellitus .Zinc (Zn) is required for insulin synthesis and storage.

Previously, they found that low levels of Zn may affect the ability of pancreatic islet cells for the production and secretion of insulin such as in type-2 diabetes.

Copper (Cu) is the third most abundant essential trace element in the body and it has been postulated that copper possesses insulin-like activity and promotes lipogenesis, recent human studies demonstrate that diabetic patients may have abnormal levels of serum copper.

Objective: To assess the serum zinc and copper among Sudanese patients with type2 diabetes mellitus.

Materials and methods: An analytical case control hospital based study.

The study was conducted in Khartoum state diabetic clinics during the period from 2016 to 2017.

Seventy subjects as enrolled in this study were match age and sex.

Thirty five diabetic patients and other 35 apparently healthy as control group.

Zinc and copper levels were analyzed by atomic absorption spectrophotometer and HbA1c was analyzed by Ichroma II, the data were analyzed using SPSS version (16).

Results: The findings of this study revealed that there was significant decrease in serum zinc and copper levels among diabetic patients when compared with control group with p.

value (0.000 and 0.000) respectively, In addition, there was insignificant difference in serum zinc and copper levels among type-2diabetic patients according to gender, age, body mass index (BMI), and duration of disease with p.

value (0.084, 0.102, 0.280, 0.838) and (0.290, 0.681, 0.433, 0.165) respectively.

Conclusion:Type-2 diabetic patients had a significantly lower mean levels of zinc and copper than control group but their levels was statistically insignificantly different according to gender, age, BMI, and duration of disease.